Retrieval Augmented Generation Rag Jobs in Chicago, IL

Create, test, and optimize prompt engineering frameworks, embeddings, and retrieval-augmented generation (RAG) architectures. * Integrate LLMs with enterprise data sources via APIs, connectors, and ...

Build and operationalize retrieval-augmented generation (RAG) systems grounded in structured commerce knowledge, product taxonomies, business rules, and policy constraints. Data & Orchestration ...

Familiarity with RAG (Retrieval-Augmented Generation) pipelines and integration into enterprise systems * Understanding of Agentic AI architectures (e.g., LangChain, CrewAI, AutoGPT) for orchestrated ...

Create task decomposition, tool-use policies, guardrails, and evaluation loops Implement Retrieval-Augmented Generation (RAG) * Stand up vector search and retrieval pipelines; select embedding ...

Reusable components adopted in at least 3 future use cases. 3. RAG / Context-Aware Workflows Implement Retrieval-Augmented Generation (RAG) pipelines combining Gemini + BigQuery or vector databases ...

Exposure tRetrieval-Augmented Generation (RAG) models for dynamic, context-aware responses * Designed and deployed chatbot solutions across web and mobile platforms Cloud Architecture: * Strong ...

Reusable components adopted in at least 3 future use cases. 3. RAG / Context-Aware Workflows Implement Retrieval-Augmented Generation (RAG) pipelines combining Gemini + BigQuery or vector databases ...

... and Retrieval-Augmented Generation (RAG) solutions, and enable informed decision-making across the organization. UL Standards & Engagement: At UL Standards & Engagement (ULSE), we expand the ...

The position supports the design, development, and deployment of generative AI products, with a focus on prompt engineering, retrieval-augmented generation (RAG), and large language models (LLMs) to ...

Knowledge of retrieval-augmented generation (RAG) and agentic AI frameworks such as Langchain, Langgraph, Langfuse. * Publications or contributions in AI research communities. Additional information ...

Build and maintain retrieval-augmented generation pipelines using enterprise content sources, vector databases, embeddings, reranking, and prompt orchestration. * Fine-tune, evaluate, and optimize ...

Retrieval Augmented Generation (RAG) : Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases, and advanced rerankers to enhance response quality and ...

... implementing Graph Retrieval-Augmented Generation (GraphRAG) systems to provide accurate ... Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI ...

... implementing Graph Retrieval-Augmented Generation (GraphRAG) systems to provide accurate ... Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI ...

... implementing Graph Retrieval-Augmented Generation (GraphRAG) systems to provide accurate ... Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI ...

You will guide enterprise approaches for AI integration, retrieval-augmented generation, agentic ... Experience with generative AI platforms, large language model integration, RAG architectures ...

You will guide enterprise approaches for AI integration, retrieval-augmented generation, agentic ... Experience with generative AI platforms, large language model integration, RAG architectures ...

Developing and deploying agentic systems using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel Implementing RAG (Retrieval-Augmented Generation) architectures and integrating them with ...

Develop custom GPTs, AI agents, retrieval-augmented generation (RAG) solutions, and workflow automations that improve operational efficiency. * Integrate AI platforms with business systems such as ...

Develop custom GPTs, AI agents, retrieval-augmented generation (RAG) solutions, and workflow automations that improve operational efficiency. * Integrate AI platforms with business systems such as ...